ObjectiveTo investigate the association between single and combined exposure to arsenic （As）， mercury （Hg）， and cadmium （Cd） in urine and hearing loss in adults. MethodsA total of 400 adult patients were recruited for the study， comprising 200 participants in the normal hearing group and 200 in the hearing loss group. General demographic information of the study subjects was collected by a self-administered questionnaire， morning urine samples were tested for As， Hg， and Cd concentrations， and hearing status was assessed by Pure Tone Audiometry. A binary Logistic regression model was used to explore the association between the concentrations of the three metals in urine and hearing loss， and a Bayesian kernel-machine regression （BKMR） model was used to further explore the association between the concentrations of the three metal mixtures and hearing loss. ResultsAfter correction for urinary creatinine， As， Hg， and Cd concentrations were higher in the hearing loss group than those in the normal hearing group （P<0.05）. Binary Logistic regression indicated that concentrations of As， Hg， and Cd were positively associated with hearing loss， and the risk of hearing loss was significantly higher in the second quartile of Cd concentration compared to the first quartile （OR=2.000， 95%CI： 1.009-3.964）. BKMR modeling analysis showed that the combined exposure levels of As， Hg， and Cd significantly increased the risk of hearing loss， with Cd being the most important contributor （posterior inclusion probability=0.412）， and that there were potential interactions between As and Cd， and Cd and Hg. ConclusionCombined exposure to As， Hg， and Cd in urine is significantly associated with adult hearing loss， with Cd being the primary contributor in the exposure combination. The interactions between As and Cd， as well as Cd and Hg， may have adverse effects on hearing loss.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Pain assessment in children is vital in clinical practice. Accurate evaluation of pain intensity in children is the prerequisite for implementing effective analgesic interventions, it is necessary to chose age-specific assessment tools tailored to developmental stages of children. The degrees of patin reported by children themselves are the gold standard for evaluation, and self-assessment should be prioritized when feasible. In addition, behavioral and physiological assessments also show good reliability and validity. This review summarizes current domestic and international researches on pediatric pain assessment tools and their clinical applications, aiming to provide reference for optimizing pain evaluation in pediatric practice.

This paper reported a type 1 diabetes patient who had severe diabetic nephropathy, retinopathy, hypertension, and hypothyroidism before pregnancy. The patient's blood glucose control was poor before pregnancy, and the complications were not properly treated. This was an unintended pregnancy, with a pre-pregnancy glycated hemoglobin A1c of 7.8% and early pregnancy urine protein of 3.81-4.53 g/24 h. Considering the patient's poor blood glucose control before pregnancy and the lack of proper treatment for multiple complications including nephropathy, a multidisciplinary consultation at an external hospital recommended termination of the pregnancy. However, the patient was determined to continue the pregnancy and was referred to Peking University First Hospital. Through strict blood glucose control, monitoring and evaluation of complications, and comprehensive management, the patient's blood glucose and blood pressure were well controlled during pregnancy. Regular monitoring of urine protein, renal function, and ocular fundus was conducted. At 31 weeks and 4 days of gestation, the patient's 24-hour urine protein significantly increased. After promoting fetal lung maturity, a cesarean section was performed at 34 weeks and 1 day of gestation, resulting in a successful delivery with good maternal and neonatal outcomes. At the 42-day postpartum follow-up, the patient's blood glucose and blood pressure were stable, urine protein returned to pre-pregnancy levels, and the infant was in good general condition.

Objective To explore the potential clinical value of the ratio of glycated albumin to albumin(GA/ALB)in the occurrence of heart failure(HF)among patients with coronary atherosclerotic heart disease(CHD).Methods A total of 337 CHD patients admitted to the Department of Cardiology in Shanxi Provincial People's Hospital from July 2023 to June 2024 were selected in this study.CHD patients were divided into HF group and non-HF group based on whether they progressed to HF.The clinical data and laboratory parame-ters of the two groups were compared.Restricted cubic spline curve was used to analyze the relationship be-tween GA/ALB levels and the risk of HF in CHD patients.Receiver operating characteristic curve was applied to evaluate the diagnostic efficacy of GA/ALB,GA,platelet to lymphocyte ratio(PLR),and monocyte to lym-phocyte ratio(MLR)in CHD patients with the occurrence of HF.Logistic regression was used to explore the relationship between serum GA/ALB levels and the risk of CHD patients occurrence of HF,and to analyze the degree of influence and stability of subgroup variables on results.Results There were statistically significant differences in GA/ALB,GA,PLR,MLR,and other indicators between the HF group and the non-HF group in CHD patients(P＜0.05).A non-linear relationship was observed between GA/ALB levels and the risk of HF in CHD patients.When the value of GA/ALB multiplied by 10 was less than 5.751,the risk of HF in CHD pa-tients increased with the increase of GA/ALB levels(P＜0.001).GA/ALB was an effective predictor for HF occurrence in CHD patients.Multivariable Logistic regression model showed that GA/ALB was an independ-ent risk factor for CHD patients with occurrence of HF.Subgroup analysis also confirmed the stability of GA/ALB in predicting the occurrence of HF in CHD patients.Conclusion GA/ALB is an independent risk factor for the occurrence of HF in CHD patients,and monitoring GA/ALB levels provides predictive value for the oc-currence of HF in these patients.

Objective To analyze the main epidemiological characteristics of fungal infection in this hospital in the past 7 years,and to provide reference for clinical treatment and prevention and control strategies of fun-gal infection.Methods The fungal data and clinical data of related patients isolated from clinical samples in Peking Union Medical College Hospital from early January 2018 to the end of May 2024 were selected,and the main epidemiological characteristics of fungal infection in this hospital were identified and described through multi-angle statistical analysis.Results A total of 4 479 patients with filamentous fungal infection were en-rolled.The proportion of male patients[57.5％(2 576/4 479)]was higher than that of female patients[42.5％(1 903/4 143)],mainly distributed in internal medicine,Intensive Care Unit(ICU)and emergency de-partment,among which internal medicine accounted for the highest proportion[50.0％(2 241/4 479)].About 90.0％of the specimens were from the lower respiratory tract,in addition to specimens from skin and soft tis-sue,tissue,ear and blood culture.In terms of seasonal distribution,there are more patients in winter.The fun-gi were mainly composed of Aspergillus,Mucor,Cerdosporium,Fusarium and Penicillium,among which As-pergillus was the most abundant,accounting for 74.6％of the total.Aspergillus fumigatus was the most a-bundant Aspergillus,accounting for 42.5％of the total Aspergillus(1 418/3 340).Among the related infec-tions caused by mold,Aspergillus was the most common in the lower respiratory tract,accounting for 76.8％.Among them,Aspergillus fumigatus accounted for the highest proportion(33.6％).98.6％of the molds infected the ear were Aspergillus,of which Aspergillus niger and Aspergillus terreus were the most common.Skin infections are mainly caused by Sporothrix schenckii,Trichophyton rubrum,Microsporum ca-nis.The results of in vitro drug sensitivity test showed that the four common Aspergillus isolated in this hos-pital were sensitive to voriconazole,and amphotericin B had better antifungal activity against Mucorales in vitro.Conclusion Based on the main epidemiological characteristics of fungal infections in this hospital,it is recommended that special attention be paid to the admission of patients in the respiratory department during the peak infection period in autumn and winter.In the treatment of fungal infections in different regions and on different body parts,attention should be paid to the differences in the distribution of bacterial species.

The triple energizer is the pathway for the transportation and metabolism of qi,blood and body fluid in the body,and the xuanfu(sweat pores)is the way for the ascending,descending,exiting,and entering of qi movement in the muscular striae and the exterior.Professor Li Huilin believes that the pathogenesis of acne is usually due to the dysfunction of triple energizer and the stagnation of depressed yang-heat,which result into the abnormal opening and closing of the xuanfu and the accumulation of heat-toxin in the muscular striae.For the treatment of acne with traditional Chinese medicine,it is necessary to pay attention to the regulation of triple energizer-xuanfu.The treatment should be based on unblocking therapy,and the therapeutic principle of unblocking triple energizer and opening xuanfu should be taken into account.In clinical practice,it is necessary to identify the syndromes of upper energizer,middle energizer and lower energizer.The syndrome of the upper energizer is often due to fire-heat,which results from the wind-heat in lung meridian or the exuberance of heart fire.The upper-energizer syndrome can be treated by the therapy of relieving and clearing the pathogens with light and mild drugs,expelling fire-heat to open sweat pores,and through the modified use of Mahuang Lianqiao Chixiaodou Decoction,Ma Xing Shi Gan Decoction,or Puji Xiaodu Decoction.The syndrome of the middle energizer is usually due to the qi stagnation,which results from intense stomach-heat,damp-heat in the spleen and stomach,liver depression and qi stagnation,or spleen deficiency with dampness accumulation.The middle-energizer syndrome can be treated by the therapy of regulating qi movement to relieve stagnation and open sweat pores,and through the modified use of Qingwei san,Sanren Decoction,Huanglian Wendan Decoction,Chaihu Shugan Powder,or Heqi Powder.The syndrome of the lower energizer is often due to healthy-qi deficiency,which results from yin deficiency of liver and kidney,or deficiency-cold in lower energizer.The lower-energizer syndrome can be treated by the therapy of cultivating the vital essence and consolidating vital base,supplementing deficiency to open sweat pores,and through the modified use of Liuwei Dihuang Pills or Yanghe Decoction.

Objective To investigate the acupoint selection patterns for treating diabetic cardiac autonomic neuropathy(DCAN)using data mining techniques,providing evidence for clinical practice.Methods Literature on acupuncture treatment for DCAN was retrieved from CNKI,Wanfang,VIP,and PubMed.The publication dates of the included literature ranged from the inception of each database to April 2024.Descriptive analysis,association rule analysis,and cluster analysis were performed on acupoint prescriptions,with the selection patterns of meridians and acupoints were summarized.Results A total of 27 articles were included,involving 18 acupoints.The top 10 high-frequency acupoints were Neiguan(PC6),Xinshu(BL15),Pishu(BL20),Zusanli(ST36),Sanyinjiao(SP6),Shenmen(HT7),Taixi(KI3),Lingtai(GV10),Shendao(GV11),and Shenshu(BL23).The primary meridians selected were the bladder meridian of foot-taiyang and the pericardium meridian of hand-jueyin.Specific acupoint categories predominantly included back-shu points and five transport points.Association rule and cluster analyses identified core acupoint combinations centered on Xinshu,Neiguan,Pishu,and Zusanli.Conclusion The core acupoint combination for treating DCAN with acupuncture comprises Xinshu,Neiguan,Pishu,and Zusanli.